| datasets: | |
| - HuggingFaceM4/OBELICS | |
| - laion/laion-coco | |
| - wikipedia | |
| - facebook/pmd | |
| - pixparse/idl-wds | |
| - pixparse/pdfa-eng-wds | |
| - wendlerc/RenderedText | |
| - HuggingFaceM4/the_cauldron | |
| - teknium/OpenHermes-2.5 | |
| - GAIR/lima | |
| - databricks/databricks-dolly-15k | |
| - meta-math/MetaMathQA | |
| - TIGER-Lab/MathInstruct | |
| - microsoft/orca-math-word-problems-200k | |
| - camel-ai/math | |
| - AtlasUnified/atlas-math-sets | |
| - tiedong/goat | |
| - Lin-Chen/ShareGPT4V | |
| - jxu124/llava_conversation_58k | |
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - multimodal | |
| - vision | |
| - image-text-to-text | |
| - mlx | |
| # mlx-community/idefics2-8b-4bit | |
| This model was converted to MLX format from [`HuggingFaceM4/idefics2-8b`]() using mlx-vlm version **0.1.0**. | |
| Refer to the [original model card](https://huggingface.co/HuggingFaceM4/idefics2-8b) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install -U mlx-vlm | |
| ``` | |
| ```bash | |
| python -m mlx_vlm.generate --model mlx-community/idefics2-8b-4bit --max-tokens 100 --temp 0.0 | |
| ``` | |